NHST can tell you how likely randomly sampled data would be like your data or even more extreme than it given that the null hypothesis (//e.g.//, there is no difference in the mean across the groups to compare) is true. As a standard threshold, we use 0.05, and we call this //alpha//. This means that if randomly sampled data can be like your data at lower than 5% change, you reject the null hypothesis (and claim that we observe a difference). Thus, if your p value is lower than //alpha//, we say that you have a significant result.

NHST can tell you how likely randomly sampled data would be like your data or even more extreme than it given that the null hypothesis (//e.g.//, there is no difference in the mean across the groups to compare) is true. As a standard threshold, we use 0.05, and we call this //alpha//. This means that if randomly sampled data can be like your data at lower than 5% change, you reject the null hypothesis (and claim that we observe a difference). Thus, if your p value is lower than //alpha//, we say that you have a significant result.